Title Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review
Authors Chung Y., Bagheri N., SALINAS PÉREZ, JOSÉ ALBERTO, Smurthwaite K., Walsh E., Furst M., Rosenberg S., Salvador-Carulla L., SALINAS PÉREZ, JOSÉ ALBERTO
External publication No
Means Int. J. Inf. Manage.
Scope Review
Nature Científica
JCR Quartile 1
SJR Quartile 1
Area International
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065412591&doi=10.1016%2fj.ijinfomgt.2019.04.012&partnerID=40&md5=d944d7e5deed454e8a7bfff7d551fce2
Publication date 01/01/2020
ISI 000497989600002
Scopus Id 2-s2.0-85065412591
DOI 10.1016/j.ijinfomgt.2019.04.012
Abstract The availability of healthcare data has exponentially grown, both in quantity and complexity. The speed of this evolution has generated new challenges for translating complex data into effective evidence-informed policy. Visual analytics offers new capacity to analyze healthcare systems and support better decision-making. We conducted a systematic scoping review to look for evidence of visual analytics approaches being applied to mental healthcare systems and their use in driving policy. We found 79 relevant studies and categorized them in two ways: by study purpose and by type of visualization. The majority (67.1%)of the studies used geographical maps, and 11% conducted highly complex studies requiring novel visualizations. Significantly, only 15% of the studies provided information indicating high levels of usability for policy and planning. Our findings suggest that while visual analytics continues to evolve rapidly, there is a need to ensure this evolution reflects the practical needs of policy makers. © 2019 The Authors
Keywords Data visualization; Decision making; Flow visualization; Health care; Data complexity; Informed decision; Mental healthcare systems; Scoping review; Visual analytics; Visualization
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